Abstract
In this paper, we formulate a mathematical inventory model for deteriorating items with a constant rate of deterioration. The supplier offers the retailer successive discount on purchase of goods if the order size crosses predefined quantity levels. Retailer uses preservation techniques to reduce the deterioration rate. In order to increase the sales, retailer implements promotional strategies. Market demand of the product is influenced by promotional efforts, stock level and selling price of the product. The objective is to find optimum order quantity, cycle time, promotional cost, preservation cost and selling price in order to maximize total profit for the retailer. A numerical example is given to validate the mathematical model. Sensitivity analysis has been carried out to analyze the effect of change of other inventory parameters on decision variables and total profit. Results indicate that due to preservation technology we can see remarkable decrease in the deterioration rate hence cycle time increases and retailer can set a cheaper selling price to increase sales. Promotional efforts help the retailer to enhance sales of the product. Moreover, depending upon the product demand and order size, quantity discounts help retailer to reduce the purchase cost and hence overall profit of retailer increases.
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References
Aggarwal, K., Shuja, A., Malik, M.: An inventory model for coordinating ordering, pricing and advertisement policy for an advance sales system. Yugosl. J. Oper. Res. 30(3), 325–338 (2020)
Bardhan, S., Pal, H., Giri, B.: Optimal replenishment policy and preservation technology investment for a non-instantaneous deteriorating item with stock-dependent demand. Oper. Res. Int. J. 19(2), 347–368 (2019)
Barron, L.E., Sana, S.S.: Coordinated lot-sizing and dynamic pricing under a supplier all-units quantity discounts. Appl. Math. Model. 39(21), 6725–6737 (2015)
Burwell, T.H., Dave, D.S., Fitzpatrick, K.E., Roy, M.R.: Economic lot size model for price-dependent demand under quantity and freight discounts. Int. J. Prod. Econ. 48(2), 141–155 (1997)
Chang, H.C.: A note on an economic lot size model for price dependent demand under quantity and freight discounts. Int. J. Prod. Econ. 144(1), 175–179 (2013)
Das, S.C., Zidan, A.M., Manna, A.K., Shaikh, A.A., Bhuniya, A.k. : An application of preservation technology in inventory control system with price dependent demand and partial backlogging. Alex. Eng. J. 59(3), 1359–1369 (2020)
Dey, K., Chatterjee, D., Saha, S., Moon, I.: Dynamic versus static rebates: an investigation on price, displayed stock level and rebate induced demand using a hybrid bat algorithm. Appl. Math. Model. 37(6), 3645–3659 (2019)
Dye, C.Y., Yang, C.T.: Optimal dynamic pricing and preservation technology investment for deteriorating products with reference price effects. Omega 62(C), 52–67 (2016)
Khanna, A., Gautam, P., Jaggi, C.K.: Inventory modeling for deteriorating imperfect quality items with selling price dependent demand and shortage backordering under credit financing. Int. J. Math. Eng. Manag. Sci. 2(2), 110–124 (2017)
Lee, Y.P., Dye, C.Y.: An inventory model for deteriorating items under stock-dependent demand and controllable deterioration rate. Comput. Ind. Eng. 63(2), 474–482 (2012)
Li, L., Wang, Y., Yan, X.: (2013): Coordinating a supply chain with price and advertisement dependent stochastic demand. Sci. World J. 3, 1–12 (2013)
Mahapatra, A.S., Sarkar, B., Mahapatra, M.S., Soni, H.N., Mazumder, S.N.: Development of a fuzzy economic order quantity model of deteriorating items with promotional effort and learning in fuzziness with a finite time horizon. Inventions 4(3), 1–16 (2019)
Nagare, M., Dutta, P., Suryawanshi, P.: Optimal procurement and discount pricing for single-period non-instantaneous deteriorating products with promotional efforts. Oper. Res. Springer 20(1), 89–117 (2020)
Ouyang, L.Y., Wu, K.S., Yang, C.T.: Retailer’s ordering policy for non-instantaneous deteriorating items with quantity discount, stock-dependent demand and stochastic back order rate. J. Chin. Inst. Ind. Eng. 25(1), 62–72 (2008)
Palanivel, M., Uthayakumar, R.: A production inventory model with promotional effort, variable production cost and probabilistic deterioration. Int. J. Syst. Assur. Eng. Manag. 8(1), 290–300 (2015)
Rapolu, C.N., Kandpal, D.H.: Joint pricing, advertisement, preservation technology investment and inventory policies for non-instantaneous deteriorating items under trade credit. Opsearch 57, 274–300 (2020)
Saha, S., Modak, N.M., Panda, S., Sana, S.S.: Promotional coordination mechanisms with demand dependent on price and sales efforts. J. Ind. Product. Eng. 36(1), 13–31 (2019)
Sebatjane, M., Adetunji, O.: Economic order quantity model for growing items with incremental quantity discounts. J. Ind. Eng. Int. 15, 545–556 (2019)
Shah, N.H.: Ordering policy for inventory management when demand is stock-dependent and a temporary price discount is linked to order quantity. Rev. Investig. Oper. 33(3), 233–244 (2012)
Shah, N.H., Naik, M.K.: Inventory policies for price-sensitive stock-dependent demand and quantity discounts. Int. J. Math. Eng. Manag. Sci. 3(3), 245–257 (2018)
Soni, H.N., Chauhan, A.D.: Joint pricing, inventory, and preservation decisions for deteriorating items with stochastic demand and promotional efforts. J. Ind. Eng. Int. 14(4), 831–843 (2018)
Sundara Rajan, R., Uthayakumar, R.: Analysis and optimization of an EOQ inventory model with promotional efforts and back ordering under delay in payments. J. Manag Anal. 4(2), 159–181 (2017)
Suthar, D.N., Soni, H.N.: Optimal Replenishment and Shelf-Space Policy for Freshness, Promotional Effort and Stock Dependent Demand Rate Incorporating Expiration Date of Fresh Product, IOSR. J. Eng. 8(6), 83–93 (2018)
Szmerekovsky, J.G., Zhang, J.: Pricing and two-tier advertising with one manufacturer and one retailer. Eur. J. Oper. Res. 192(3), 904–917 (2009)
Transchel, S., Minner, S.: Coordinated lot-sizing and dynamic pricing under a supplier all-units quantity discount. BuR-Bus. Res. 1(1), 125–141 (2008)
Yang, P.C.: Pricing stretegy for deteriorating items using quantity discount when demand is price sensitive. Eur. J. Oper. Res. 157(2), 389–397 (2004)
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Authors thank DST-FIST file # MSI-097 for technical support to department of Mathematics. One of the authors (Milan B. Patel) would like to extend sincere thanks to the Education Department, Gujarat State for providing scholarship under ScHeme of Developing High quality research.
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Prof. Nita Shah gave the idea of inventory model. Pratik developed mathematical model and did computational procedure. Milan worked out sensitivity analysis and conclusion part. All three authors have contributed equally in development of the article.
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Appendix
Appendix
For \(0 \le t \le T\), we have.
\(\frac{d}{dt}I\left( t \right) + \left( {\theta + b} \right) \cdot I\left( t \right) = - \left( {a - c \cdot p + \beta \cdot M} \right)\,\). This is a linear differential equation.
Integrating Factor, \(I.F. = e^{{\left( {\theta + b} \right)t}}\). Hence the \(I\left( t \right)\) can be obtained by solving following equation.
\(I\left( t \right) \cdot e^{{\left( {\theta + b} \right)t}} = k - \int\limits_{0}^{t} {\left( {a - cp + \beta M} \right)e^{{\left( {\theta + b} \right)t}} dt}\) where, k is an arbitrary constant.
Therefore, \(I\left( t \right) \cdot e^{{\left( {\theta + b} \right)t}} = k - \left[ {\frac{{\left( {a - cp + \beta M} \right)}}{{\left( {\theta + b} \right)}}e^{{\left( {\theta + b} \right)t}} } \right]_{0}^{t}\). Simplifying further we have,
\(I\left( t \right) \cdot e^{{\left( {\theta + b} \right)t}} = k - \left[ {\frac{{\left( {a - cp + \beta M} \right)}}{{\left( {\theta + b} \right)}}\left\{ {e^{{\left( {\theta + b} \right)t}} - 1} \right\}} \right]\). Now use the boundary condition \(I\left( T \right) = 0\).
Hence, \(k = \left[ {\frac{{\left( {a - cp + \beta M} \right)}}{{\left( {\theta + b} \right)}}\left\{ {e^{{\left( {\theta + b} \right)T}} - 1} \right\}} \right]\). Substituting this value in above equation we get,
\(I\left( t \right) \cdot e^{{\left( {\theta + b} \right)t}} = \frac{{\left( {a - cp + \beta M} \right)}}{{\left( {\theta + b} \right)}}\left\{ {e^{{\left( {\theta + b} \right)T}} - e^{{\left( {\theta + b} \right)t}} } \right\}\). Simplifying further we obtain \(I\left( t \right)\) as shown below.
\(I\left( t \right) = \frac{{\left( {a - cp + \beta M} \right)}}{{\left( {\theta + b} \right)}}\left\{ {e^{{\left( {\theta + b} \right)\left( {T - t} \right)}} - 1} \right\}\) Hence Eq. (4) is obtained.
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Shah, N.H., Shah, P.H. & Patel, M.B. Retailer’s inventory decisions with promotional efforts and preservation technology investments when supplier offers quantity discounts. OPSEARCH 58, 1116–1132 (2021). https://doi.org/10.1007/s12597-021-00516-6
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DOI: https://doi.org/10.1007/s12597-021-00516-6